1 to 25 of 95 Permanent LLM Jobs in the Thames Valley

will be responsible for guiding a team of AI Engineers in the design, development, deployment, and operation of scalable AI and Large Language Model (LLM) powered applications. Working closely with Data Scientists, Product teams, and business stakeholders, you will ensure AI products are secure, reliable, and built to enterprise standards. … performing technical teams, creating a culture of collaboration, innovation, continuous improvement, and professional growth. Hands-on experience designing, building, and deploying Large Language Model (LLM) powered solutions and generative AI applications at enterprise scale. Strong Python development skills, with experience using machine learning frameworks such as PyTorch, TensorFlow, and Scikit ...

cloud data platforms, distributed processing, data modelling, and analytics/BI consumption patterns Exposure to AI/ML engineering practices, feature pipelines, model productionization, LLM‐based applications, or agentic AI patterns will be an added advantage Experience with DevOps and DataOps practices, including CI/CD, monitoring, observability, and incident ...

digital future of fintech transactions and ensuring a reliability of 99.9999% and beyond. The Work itself: Build Agentic Solutions using world's most advanced LLM models from Anthropic, OpenAI and others Build Deep Learning solutions using AI/ML Platforms for real time transactions at a scale of 100K+ ...

Pharma space. Industry domain knowledge would be beneficial. Key Technical Skills Required Senior Python engineer with strong production software engineering experience. Commercial experience building LLM, agentic AI or multi-agent systems. Hands‐on experience with LangGraph, LangChain, Haystack or similar frameworks. Proven ability to deploy AI/ML systems into ...

/C#, Python and FastAPI . Integrating Microsoft AI technologies including Azure OpenAI, Azure AI Foundry, Foundry Agents and Azure AI Search . Building LLM-powered applications, RAG architectures, agentic workflows and MCP integrations . Deploying secure and scalable applications within Microsoft Azure. Working directly with customers to translate business ...

technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy industry experience is not required ...

performance profiling and benchmarking. Solid understanding of secure coding practices, vulnerability management and security considerations in software delivery. Applied understanding of Generative AI and LLM patterns, particularly RAG. You should be able to explain and design an approach for document search or conversational interfaces over enterprise content. Strong written ...

upside. What we need from you Substantial software engineering experience, with strong Python. You write production code, not just notebooks. Demonstrable delivery of LLM or agentic systems into production for real users, and the scar tissue that comes with it. We will ask what broke and what you changed. Hands ...

stack development experience (React/Node.js, .NET/C#, Python/FastAPI). Proven background delivering production software in client-facing environments. Experience with LLM integration, prompt engineering, RAG or agentic AI development. Familiarity with AI-assisted development tools (GitHub Copilot, Claude, Cursor). Hands-on experience with Azure cloud ...

documented code. Experience developing and deploying machine learning, AI or data‐driven systems in production or near‐production settings. Experience with generative AI systems, LLM‐enabled applications or evaluation pipelines. Experience with cloud platforms, MLOps tooling, model serving or platform engineering. Advanced use of Linux, Docker, version control, CI/ ...

Experience in data science, machine learning, or applied NLP Strong hands‐on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM‐based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging ...

practice in AI governance and documentation - model cards, system cards, reproducibility, and responsible‐AI considerations - at an organizational level. Broad familiarity with the modern LLM ecosystem (open and proprietary models, orchestration frameworks, vector stores) and well‐formed views on the tradeoffs. Experience supporting multilingual or localization‐focused products at enterprise ...

exceptional team player - low-ego, high-initiative Genuine interest in the transformation of energy markets and infrastructure Desirable attributes: Hands-on experience building LLM-based systems Experience testing non-deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits ...

continuously improving performance, reducing latency, and ensuring output consistency. Key Responsibilities Design and implement advanced, dynamic prompts tailored to business-specific use cases. Optimize LLM performance by reducing token consumption, latency, and hallucinations. Integrate prompts into agent-based systems, APIs, and RAG architectures. Develop prompt frameworks and reusable templates ...

exceptional team player - low-ego, high-initiative Genuine interest in the transformation of energy markets and infrastructure Desirable attributes Hands-on experience building LLM-based systems Experience testing non-deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits ...

/or R for data analysis, with an appreciation of good software development practice. It'd be great if you also have Comfortable using LLM programming assistants appropriately within a research analysis environment. Experienced running tools and workflows in a scalable system, for example Linux based HPC environments ...

threat modelling, alongside broader cloud and enterprise security architecture. The successful candidate will have a strong security architecture background combined with genuine AI/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would ...

also valued Demonstrated experience delivering AI, machine learning, or generative AI solutions in real-world settings Strong understanding of modern AI tooling, including LLM application patterns, orchestration frameworks, automation platforms, evaluation approaches, and model limitations Ability to balance experimentation with sound engineering discipline, including security, reliability, and maintainability Strong communication ...

work across the full lifecycle, from experimentation through to integration and operationalisation, and to mentor others along the way. Bonus points: generative AI/LLM application experience, privacy-preserving or compliance-sensitive systems work, multi-partner programme experience, or a background in regulated industries. You'll be the person turning ...

exceptional team player - low‐ego, high‐initiative Genuine interest in the transformation of energy markets and infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits ...

exceptional team player - low‐ego, high‐initiative Genuine interest in the transformation of energy markets and infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Private Medical Insurance Dental ...

ingestion frameworks and integration patterns across enterprise systems Define and implement BI and Agentic BI architectures using Snowflake Cortex, Snowpark, AWS Bedrock, SageMaker and LLM technologies Develop architecture patterns for Retrieval Augmented Generation (RAG), vector search, semantic layers, knowledge graphs and enterprise AI assistants Establish governance, security, data quality ...

tools and are familiar with performance optimisation practices, such as instance rightsizing, workload optimisation and model inference efficiency You have a working knowledge of LLM/GenAI pricing structures across major providers (e.g. Azure OpenAI, Anthropic etc.) You have an understanding of Azure Cost Management, cost allocation and tagging, forecasting ...

used to enhance and automate cyber security capabilities. The ideal candidate will have a strong security architecture background with application security and AI/LLM security architecture experience. Practical exposure to platforms such as GCP Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Claude or OpenAI is essential. This ...

Knowledge Graphs & Advanced RAG Job Description Design, develop, and deploy scalable applications using Python with high code quality and performance standards Build and implement LLM-based solutions, including RAG pipelines and agentic workflows for real-world use cases Develop and integrate RESTful APIs for seamless communication between systems and services ...